NanoNets is a Deep Learning web platform that makes it easier than ever before to use Deep Learning in practical applications. It combines the convenience of a web-based platform with Deep Learning models to create image recognition and object classification applications for your business. You can easily build and integrate deep learning models using NanoNets’ API. You can also work with our pre-trained models which have been trained on huge datasets and return accurate results. NanoNets has leveraged recent advances in Deep Learning to build rich representations of data which are transferable across tasks. It’s as simple as uploading your input, generating the output and getting a functioning and highly accurate Deep Learning model for your AI needs. NanoNets is revolutionary because it allows you to train models without large datasets. With just 100 images you can train a model on our platform to detect features and classify images with a high degree of accuracy. NanoNets benefits you in four important ways: ● It reduces the amount of data needed to build a Deep Learning Model ● NanoNets handles the infrastructure for hosting and training the model, and for the run time ● It reduces the cost of running deep learning models by sharing infrastructure across models ● It is possible for anyone to build a deep learning model
This tool is recommended for individuals, businesses, and marketers who need to generate QR codes for promotional materials, product packaging, event management, or any other purpose requiring quick and effective QR code generation.
Nanonets is particularly recommended for businesses of all sizes that deal with large volumes of documents and require efficient data extraction and automation. Industries like finance, healthcare, logistics, and retail, which often handle invoices, forms, and contracts, can benefit significantly. It's also suitable for developers looking for an API solution to integrate OCR capabilities into their own applications.
Based on our record, Nanonets should be more popular than The QR Code Generator. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It shows that whatever wallet Craig created on 18th June 2015, it definitely had a different public address at first. And it was definitely a dynamic pattern because it looks nothing like the old pattern that was baked into the jpg. So then it must be that the address was edited (which also explains why the font lost its emboss effect), and the QR code was replaced (likely by using http://the-qrcode-generator.com... Source: about 2 years ago
1FeexV6 address, the real wallet generator uses high-redundancy codes, whereas Wright's looks like a basic low-redundancy code pasted in from http://the-qrcode-generator.com. It's not even aligned properly. * Third, the background pattern is wrong. In 2015, http://bitcoinpaperwallet.com generated unique background patterns depending on the actual address contained. Wright's wallet *does* contain a unique pattern,... Source: over 3 years ago
You need to find one that embeds your URL into your QR Code, then they have no capability to modify or change it on the back-end. I use this somewhat less sketchy German website: the-qrcode-generator.com for my wife's marketing material because it uses my URL in my QR Code without being a middle man resolver. Source: over 3 years ago
Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: almost 3 years ago
Nanonets is a no-code, workflow-based, and AI-enhanced intelligent document processing platform. It automates all document processes and is built on a robust, intelligent, self-learning OCR API that allows users to extract required data from documents in minutes. Source: almost 3 years ago
Check out our website here https://nanonets.com/ for more. We also have some free tools where you can experience our product for free (like https://nanonets.com/online-ocr). Source: about 3 years ago
Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: about 3 years ago
We will be using Python3.6+, Django web framework, Nanonets for character extraction from an image, Cloudinary for image storage and Google Search API for performing the searches. - Source: dev.to / over 3 years ago
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